Company Filing History:
Years Active: 2023-2025
Title: Innovations by Inventor Xiao Tian
Introduction
Xiao Tian is a prominent inventor based in Austin, TX, known for his contributions to the field of technology and data science. With a total of 5 patents to his name, he has made significant strides in developing innovative solutions that enhance data processing and machine learning.
Latest Patents
Xiao Tian's latest patents include a "System, method, and computer program product for generating synthetic data." This invention provides a comprehensive method for generating synthetic data by creating a correlation graph of various data types and traversing a directed acyclic graph to produce a hierarchical graph. This hierarchical graph is instrumental in generating synthetic training data, which is crucial for machine learning applications.
Another notable patent is the "System, method, and computer program product for learning continuous embedding space of real-time payment transactions." This invention focuses on processing real-time payment data by utilizing machine learning models to predict target attributes and convert remaining attributes into vectors for further analysis. This innovative approach enhances the efficiency of processing payment transactions.
Career Highlights
Xiao Tian is currently employed at Visa International Service Association, where he applies his expertise in data science and machine learning to develop cutting-edge solutions for payment processing. His work at Visa has positioned him as a key player in the advancement of financial technology.
Collaborations
Xiao Tian collaborates with talented professionals in his field, including Chiranjeet Chetia and Shi Cao. These collaborations foster an environment of innovation and creativity, leading to the development of groundbreaking technologies.
Conclusion
Xiao Tian's contributions to the field of technology through his patents and work at Visa International Service Association highlight his role as a leading inventor. His innovative solutions in data generation and machine learning continue to shape the future of technology.